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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. Use the de-identification functionality of Cloud Healthcare API with the Digital Imaging and Communications in Medicine (DICOM) data model.

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What's inside

Syllabus

De-identifying DICOM Data with the Healthcare API

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Appropriate for both novice and mid-career Healthcare API users, this course covers both beginner information as well as higher level material
Specifically relevant to medical imaging personnel, this course concentrates on the DICOM data model, but it also reviews fundamental Cloud Healthcare API concepts
Taught by Google Cloud certified instructors

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in De-identifying DICOM Data with the Healthcare API with these activities:
Connect with experts in healthcare data
Seek guidance and support by connecting with individuals who have expertise in healthcare data and can provide valuable insights.
Browse courses on Healthcare Data
Show steps
  • Attend industry events and conferences.
  • Join online communities and forums.
  • Reach out to professionals through LinkedIn or email.
Review the basics of DICOM
Prepare for this course by reviewing the fundamentals of DICOM to ensure a strong foundation.
Browse courses on DICOM
Show steps
  • Read through an introductory article or tutorial on DICOM.
  • Review the DICOM standard documentation.
  • Complete a few practice exercises using a DICOM viewer or toolkit.
Explore additional tutorials on Healthcare API
Expand your knowledge by exploring additional tutorials on the Healthcare API to learn more about its capabilities.
Browse courses on Healthcare API
Show steps
  • Search for tutorials on the Google Cloud website.
  • Choose a tutorial that covers a topic of interest.
  • Follow the tutorial steps and complete the exercises.
Five other activities
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Show all eight activities
Attend a workshop on cloud healthcare
Enhance your knowledge by attending a workshop focused on cloud healthcare to gain practical insights and best practices.
Show steps
  • Research and find a relevant workshop.
  • Register for the workshop.
  • Attend the workshop and actively participate.
Practice de-identifying DICOM data
Reinforce your understanding by working through practical exercises involving DICOM data de-identification.
Browse courses on Healthcare API
Show steps
  • Set up a development environment with the necessary tools.
  • Obtain a sample DICOM dataset.
  • Use the Healthcare API to de-identify the DICOM data.
  • Validate the de-identification results.
Create a presentation on DICOM data de-identification
Deepen your understanding by creating a presentation that explains the process of DICOM data de-identification.
Browse courses on Presentation
Show steps
  • Gather information about DICOM data de-identification.
  • Organize the information into a logical flow.
  • Create visual aids and examples to support your presentation.
  • Practice delivering the presentation.
Contribute to open-source projects related to healthcare
Gain practical experience and contribute to the healthcare community by participating in open-source projects.
Browse courses on Healthcare
Show steps
  • Identify open-source projects related to healthcare.
  • Review the project documentation and code.
  • Identify areas where you can contribute.
  • Submit your code contributions and participate in discussions.
Participate in a hackathon related to healthcare data
Challenge yourself and apply your skills by participating in a hackathon that focuses on healthcare data and innovation.
Browse courses on Healthcare Data
Show steps
  • Find a suitable hackathon.
  • Form a team or work individually.
  • Develop a solution to the hackathon challenge.
  • Submit your project and present it to the judges.

Career center

Learners who complete De-identifying DICOM Data with the Healthcare API will develop knowledge and skills that may be useful to these careers:
Healthcare Data Engineer
Healthcare Data Engineers design, build, and maintain data pipelines and systems for healthcare organizations. This course, De-identifying DICOM Data with the Healthcare API, can help you gain proficiency in managing and analyzing healthcare data. The skills you will learn in this course, such as de-identification techniques and the use of the Cloud Healthcare API, are essential for building robust and scalable data systems in healthcare settings.
Clinical Informatics Specialist
Clinical Informatics Specialists apply their knowledge of healthcare and technology to improve patient care and outcomes. This course, De-identifying DICOM Data with the Healthcare API, can help you build a foundation in healthcare data management and analysis. By learning how to de-identify DICOM data, you will gain valuable skills in protecting patient privacy while enabling data-driven decision-making in clinical settings.
Health Information Manager
Health Information Managers oversee the management and use of health information within healthcare organizations. This course, De-identifying DICOM Data with the Healthcare API, can help you gain a solid understanding of healthcare data management and security. The hands-on experience with the Cloud Healthcare API will provide you with practical skills that are highly valued in healthcare organizations.
Healthcare Informatics Specialist
Healthcare Informatics Specialists design, implement, and manage healthcare information systems. This course, De-identifying DICOM Data with the Healthcare API, can help you gain proficiency in managing and analyzing healthcare data. The skills you will learn in this course, such as de-identification techniques and the use of the Cloud Healthcare API, are essential for ensuring data privacy and security in healthcare settings.
Healthcare Data Scientist
Healthcare Data Scientists leverage machine learning and artificial intelligence to develop predictive models and data-driven insights that can improve healthcare outcomes. This course, De-identifying DICOM Data with the Healthcare API, can help you build a foundation in healthcare data management and analysis. The hands-on experience with the Cloud Healthcare API will provide you with practical skills that are highly sought after in the healthcare industry.
Biostatistician
Biostatisticians apply statistical methods to analyze and interpret healthcare data. This course, De-identifying DICOM Data with the Healthcare API, can help you gain a solid understanding of healthcare data management and analysis. By learning how to de-identify DICOM data, you will gain valuable skills in protecting patient privacy while enabling data-driven research and decision-making in healthcare.
Healthcare Technology Manager
Healthcare Technology Managers oversee the planning, implementation, and management of technology systems within healthcare organizations. This course, De-identifying DICOM Data with the Healthcare API, can help you gain a deeper understanding of healthcare data management and security. The hands-on experience with the Cloud Healthcare API will provide you with practical skills that are essential for managing healthcare data in a secure and compliant manner.
Healthcare Consultant
Healthcare Consultants provide expertise and advice to healthcare organizations on a wide range of topics, including data management and analysis. This course, De-identifying DICOM Data with the Healthcare API, can help you gain a deeper understanding of healthcare data and its management. The skills you will learn in this course, such as de-identification techniques and the use of the Cloud Healthcare API, will enable you to provide valuable insights and recommendations to healthcare organizations.
Medical Records Technician
Medical Records Technicians manage and maintain patient medical records. This course, De-identifying DICOM Data with the Healthcare API, can help you develop a deeper understanding of healthcare data and its management. Learning how to de-identify DICOM data will provide you with skills that are crucial for protecting patient privacy and ensuring data integrity.
Pharmacist
Pharmacists ensure the safe and effective use of medications, and they rely on accurate and timely medical data to make informed decisions. This course, De-identifying DICOM Data with the Healthcare API, can help you gain a deeper understanding of healthcare data management and its importance in pharmacy settings. The skills you will learn in this course, such as de-identification techniques and the use of the Cloud Healthcare API, can contribute to improved patient care and outcomes.
Healthcare Data Analyst
Healthcare Data Analysts apply advanced analytics techniques to examine large datasets and identify trends, patterns, and opportunities for improvement within the healthcare system. This course, De-identifying DICOM Data with the Healthcare API, may be useful as it provides hands-on experience with using the Cloud Healthcare API, a powerful tool for managing and analyzing healthcare data. By learning how to de-identify DICOM data, you will gain valuable skills in protecting patient privacy while still enabling data analysis.
Medical Doctor
Medical Doctors diagnose and treat patients, and they rely on accurate and timely medical data to make informed decisions. This course, De-identifying DICOM Data with the Healthcare API, can help you gain a deeper understanding of healthcare data management and its importance in clinical settings. The skills you will learn in this course, such as de-identification techniques and the use of the Cloud Healthcare API, can contribute to improved patient care and outcomes.
Healthcare Executive
Healthcare Executives lead and manage healthcare organizations, and they rely on accurate and timely data to make informed decisions. This course, De-identifying DICOM Data with the Healthcare API, can help you gain a deeper understanding of healthcare data management and its importance in healthcare leadership. The skills you will learn in this course, such as de-identification techniques and the use of the Cloud Healthcare API, can contribute to improved patient care and outcomes.
Registered Nurse
Registered Nurses provide direct patient care and rely on accurate and timely medical data to make informed decisions. This course, De-identifying DICOM Data with the Healthcare API, can help you gain a deeper understanding of healthcare data management and its importance in clinical settings. The skills you will learn in this course, such as de-identification techniques and the use of the Cloud Healthcare API, can contribute to improved patient care and outcomes.
Healthcare Administrator
Healthcare Administrators oversee the day-to-day operations of healthcare organizations, and they rely on accurate and timely data to make informed decisions. This course, De-identifying DICOM Data with the Healthcare API, can help you gain a deeper understanding of healthcare data management and its importance in healthcare administration. The skills you will learn in this course, such as de-identification techniques and the use of the Cloud Healthcare API, can contribute to improved patient care and outcomes.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in De-identifying DICOM Data with the Healthcare API.
Provides a comprehensive overview of the DICOM standard, including its history, structure, and usage. It valuable resource for anyone who wants to learn more about DICOM, and it is particularly useful for those who are new to the field.
The official DICOM standard document, providing a detailed technical specification for DICOM. Useful as a reference for in-depth understanding of DICOM.
Provides an overview of cloud computing platforms, including Google Cloud, Amazon Web Services, and Microsoft Azure. While this course does not cover cloud computing in detail, this book would be beneficial for learners who want to learn more about this topic.
Offers a comprehensive introduction to the field of medical image computing, including image acquisition, processing, and analysis.
Provides a foundation in statistical methods used in medical research, which is relevant to understanding the statistical aspects of de-identifying DICOM data.

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